Although not immediately obvious, C++ is used in Big Data along with Java, MapReduce, Python, and Scala. For example, if you’re using a Hadoop framework, it will be implemented in Java, but MapReduce ...

“Python is a very easy language to learn for non-programmers,” said Peter Wang, president of Continuum Analytics. That’s important because most big-data analysts will probably not be ...

Google is the pioneer of big data. Technologies such as Google File System (GFS), BigTable and MapReduce formed the basis for open source Hadoop, which, more than any other technology, has brought big ...

In 10 short years, Spark has become the dominant data processing framework for parallel big data analytics. It started out as a replacement for MapReduce, but it’s still going strong even as ...

“Python is a very easy language to learn for non-programmers,” said Peter Wang, president of Continuum Analytics. That’s important because most big-data analysts will probably not be ...